code: def astype(
      x: Union[tf.Tensor, tf.Variable],
      dtype: Union[DType, str],
      /,
      *,
      copy: bool = True,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      dtype = ivy.as_native_dtype(dtype)
      if x.dtype == dtype:
          return tf.experimental.numpy.copy(x) if copy else x
      return tf.cast(x, dtype)
  
imports: from typing import Optional, Union, Sequence, List
  import numpy
  import tensorflow
  from tensorflow.python.framework.dtypes import DType
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.data_type import _handle_nestable_dtype_info
  from .None import backend_version
label_desc: Use image node_id 1 for calling a global function with example usage: astype() and returns: tf, unknown